Personalized control system via reinforcement learning: maximizing utility based on user ratings
In this paper, we address the design of personalized control systems, which pursue individual objectives defined for each user. To this end, a problem of reinforcement learning is formulated where an individual objective function is estimated based on the user rating on his/her current control syste...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | SICE Journal of Control, Measurement, and System Integration |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/18824889.2023.2167540 |